Some concepts and methods of information granule diffusion. - Chongfu Huang; Ye Xue (GrC, 2005)

Theory and Practice on Information Granule Matrix. - Ye Xue; Chongfu Huang (FSKD, 2006)

A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion. - Ye Xue; Chongfu Huang (JCIS, 2006)

Traces and property indicators of fuzzy relations. - Xuzhu Wang; Ye Xue (Fuzzy Sets Syst., 2014)

A fast-convergent pre-conditioned conjugate gradient detection for massive MIMO uplink. - Ye Xue; Chuan Zhang 001; Shunqing Zhang; Xiaohu You 001 (DSP, 2016)

Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. - Zhizheng Wu 003; Chuan Zhang 001; Ye Xue; Shugong Xu; Xiaohu You 001 (ISCAS, 2016)

Steepest Descent Method Based Soft-Output Detection for Massive MIMO Uplink. - Ye Xue; Chuan Zhang 001; Shunqing Zhang; Zhizheng Wu 003; Xiaohu You 001 (SiPS, 2016)

Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method. - Zhizhen Wu; Ye Xue; Xiaohu You 001; Chuan Zhang 001 (DSP, 2017)

A split pre-conditioned conjugate gradient method for massive MIMO detection. - Jiejun Jin; Ye Xue; Yeong-Luh Ueng; Xiaohu You 001; Chuan Zhang 001 (SiPS, 2017)

An efficient conjugate residual detector for massive MIMO systems. - Yufeng Yang; Ye Xue; Xiaohu You 001; Chuan Zhang 001 (SiPS, 2017)

TBSGM: A Fast Subgraph Matching Method on Large Scale Graphs. - Fusheng Jin; Yifeng Yang; Shuliang Wang 001; Ye Xue; Zhen Yan (Int. J. Data Warehous. Min., 2018)

Adaptive Preconditioned Iterative Linear Detection and Architecture for Massive MU-MIMO Uplink. - Ye Xue; Zhizhen Wu; Junmei Yang; Shunqing Zhang; Zaichen Zhang; Xiaohu You 001; Chuan Zhang 001 (J. Signal Process. Syst., 2018)

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. - Ye Xue; Diego Klabjan; Yuan Luo 001 (IEEE BigData, 2019)

Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology. - Ye Xue; Xiaoxiao Li; Hengchun Fu (ICNC-FSKD, 2019)

Predicting ICU readmission using grouped physiological and medication trends. - Ye Xue; Diego Klabjan; Yuan Luo 001 (Artif. Intell. Medicine, 2019)

Complete Dictionary Learning via ℓp-norm Maximization. - Yifei Shen; Ye Xue; Jun Zhang 004; Khaled B. Letaief; Vincent Lau 001 (UAI, 2020)

Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold. - Ye Xue; Yifei Shen; Vincent K. N. Lau; Jun Zhang 004; Khaled B. Letaief (CoRR, 2020)

Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems. - Ye Xue; Xuanyu Zheng; Vincent K. N. Lau (J. Commun. Inf. Networks, 2020)

Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO. - Chuan Zhang 001; Jiejun Jin; Ye Xue; Xiaosi Tan; Christoph Studer; Zaichen Zhang; Xiaohu You 001 (IEEE Trans. Veh. Technol., 2020)

Enterprise human resource management index based on fuzzy system. - Chen Zhao; Ye Xue; Tong Niu (J. Intell. Fuzzy Syst., 2021)

Efficient Sparse Coding Using Hierarchical Riemannian Pursuit. - Ye Xue; Vincent K. N. Lau; Songfu Cai (IEEE Trans. Signal Process., 2021)

Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. - Ye Xue; Yifei Shen; Vincent K. N. Lau; Jun Zhang 004; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2021)

Aggregation Delayed Federated Learning. - Ye Xue; Diego Klabjan; Yuan Luo 001 (IEEE Big Data, 2022)

Multiplicity solutions to non-local problems with general potentials and combined nonlinearities. - Ye Xue (Appl. Math. Lett., 2022)

FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. - Ye Xue; Liqun Su; Vincent K. N. Lau (IEEE Internet Things J., 2022)

Encryption Transmission Verification Method of IT Operation and Maintenance Data Based on Fuzzy Clustering Analysis. - Chen Zhao; Yongsheng Zhang; Ye Xue; Tong Niu (Mob. Networks Appl., 2022)

Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC. - Ye Xue; An Liu 001; Yang Li 035; Qingjiang Shi; Vincent K. N. Lau (ICC, 2023)

Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design. - Xinzhi Ning; Shutao Zhang; Ye Xue; Xi Zheng; Qingjiang Shi; Tsung-Hui Chang (SPAWC, 2023)

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Ye Xue; Diego Klabjan; Jean Utke (CoRR, 2023)

Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation. - Ye Xue; Vincent Lau 001 (IEEE Trans. Signal Process., 2023)

Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. - Ye Xue; Vincent K. N. Lau (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multimodal Learning on Temporal Data. - Ye Xue; Diego Klabjan; Jean Utke (IEEE Big Data, 2024)

Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling. - Yiheng Wang; Shutao Zhang; Ye Xue; Tianshu Yu 001; Qingjiang Shi; Tsung-Hui Chang (ICC, 2024)

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. - Duanyi Yao; Songze Li; Ye Xue; Jin Liu (ICLR, 2024)

Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory. - Weijing Liang; Ye Xue (IEEE Access, 2024)

Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP. - Xuanhao Pan; Chenguang Wang 011; Chaolong Ying; Ye Xue; Tianshu Yu 001 (CoRR, 2024)

GNN-Based Structured Bayesian Inference for Multi-Grid Localized Statistical Channel Modeling. - Yiheng Wang; Ye Xue; Shutao Zhang; Tsung-Hui Chang (IEEE Trans. Wirel. Commun., 2025)

Robust Network Optimization by Deep Generative Models and Stochastic Optimization. - Shutao Zhang; Ye Xue; Zhiwei Tang; Hao Wang; Chao Shen 004; Qingjiang Shi; Tsung-Hui Chang (IEEE Trans. Wirel. Commun., 2025)